DocumentCode :
2295716
Title :
Cooperative Distributed AF Wireless Relay Network in Adverse Communication Environments with Power Constraint
Author :
Lee, Kanghee ; Kwon, Hyuck M. ; Ibdah, Yazan ; Jo, Mansik ; Emami, Tooran ; Hyun, Inha
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Wichita State Univ., Wichita, KS, USA
fYear :
2011
fDate :
20-22 Sept. 2011
Firstpage :
329
Lastpage :
333
Abstract :
This paper studied a new approach designed for a distributed wireless network under three adverse communication environment, such as, broadband noise jamming (BNJ), node geometry, and channel uncertainty. It is designed for a cooperative network consisting of one-source, one-destination and N-relay nodes that implement amplify-and-forward (AF) strategy. Deriving optimal relay amplifying matrix is the primary contribution of this paper. Due to cooperation role for relay nodes, new nondiagonal matrix has been observed. This matrix is minimum mean square error (MMSE) criterion basis, and employs the difference between the original transmitted information message by the source and the received signal component at the destination. Effects of adverse wireless communication environments on wireless relay networks performance have been evaluated using Monte Carlo simulations. Bit error rate (BER) was used to validate the results.
Keywords :
Monte Carlo methods; amplify and forward communication; cooperative communication; error statistics; least mean squares methods; matrix algebra; radio networks; AF strategy; BER; BNJ; MMSE criterion; Monte Carlo simulations; N-relay nodes; adverse communication; amplify-and-forward strategy; bit error rate; broadband noise jamming; channel uncertainty; cooperative distributed AF wireless relay network; information message; minimum mean square error; node geometry; nondiagonal matrix; optimal relay amplifying matrix; received signal component; wireless communication environments; Bit error rate; Channel estimation; Jamming; Relays; Uncertainty; Vectors; Wireless communication; Amplify-and-forward; broadband noise jamming; channel uncertainty; minimum mean square error; node geometry; power constraint; relay amplifying matrix;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence, Modelling and Simulation (CIMSiM), 2011 Third International Conference on
Conference_Location :
Langkawi
Print_ISBN :
978-1-4577-1797-0
Type :
conf
DOI :
10.1109/CIMSim.2011.66
Filename :
6076380
Link To Document :
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